A new camera calibration method from vanishing points in a vision system

2010 ◽  
Vol 33 (7) ◽  
pp. 806-822 ◽  
Author(s):  
B.W. He ◽  
X.L. Zhou ◽  
Y.F. Li
Keyword(s):  
Camera Calibration ◽  
Vision System ◽  
Calibration Method ◽  
Vanishing Points

Camera Calibration Method Based on Vanishing Point

2014 ◽  
Vol 513-517 ◽  
pp. 3719-3722
Author(s):  
Wen Guo Li ◽  
Shao Jun Duan
Keyword(s):  
Camera Calibration ◽  
Calibration Method ◽  
Experimental Results ◽  
Vanishing Point ◽  
Feature Points ◽  
Vanishing Points ◽  
Parallel Lines ◽  
Internal Parameters ◽  
The Matrix ◽  
Calibration Algorithm

We present a camera calibration method based on vanishing point, that is, the vanishing points of two groups of parallel lines on the target plane are used to achieve camera calibration. A series of known positions points on target plane are used as the feature points, and the target images are recorded, the image coordinates of feature points are used to calculate the coordinates of vanishing point, then the matrix between feature points and camera is used to obtain internal parameters of camera. Experimental results show that the proposed calibration algorithm is correct, simple and convenient.

The Application Research of Robot Vision Target Positioning Based on Static Camera Calibration

2013 ◽  
Vol 712-715 ◽  
pp. 2378-2384
Author(s):  
Jiang Yan Yin
Keyword(s):  
Camera Calibration ◽  
Vision System ◽  
Research Work ◽  
Robot Vision ◽  
Target Position ◽  
Calibration Method ◽  
Lens Distortion ◽  
Application Research ◽  
Distortion Coefficient ◽  
Key Techniques

Target precise positioning by vision system is one of key techniques in robot vision system. In target positioning and selection with robot vision technique, the camera lens distortion must be calibrated. In this paper, a calibration method based on segment slope is used to calibrate the camera and the radial lens distortion coefficient is obtained. The distortion coefficient is used in calculating target position coordinates, and the robot end-exceutor is led to position the target with the use of the coordinates. The experimental results show the effectiveness of the research work. Keywords:robot vision;camera calibration;radial distortion;target positioning

Improved Camera Calibration Method Based on Vanishing Points

2012 ◽  
Vol 182-183 ◽  
pp. 649-654
Author(s):  
Yong Yong Duan ◽  
Xiu Mei Zhang ◽  
Long Zhao
Keyword(s):  
Camera Calibration ◽  
Calibration Method ◽  
Intrinsic Parameter ◽  
Vanishing Points ◽  
Surveillance Camera ◽  
Extrinsic Parameters

To improve the accuracy and efficiency of field camera calibration, an improved fast camera calibration method is proposed. Nonlinear translation algorithm based on calibration field is adopted to solve intrinsic parameter while an improved vanishing points method is introduced to get extrinsic parameters. Surveillance camera is used to validate the proposed approach. Experiment results show that the algorithm is convenient and feasible.

Camera calibration from vanishing points in a vision system

2008 ◽  
Vol 40 (3) ◽  
pp. 555-561 ◽  
Author(s):  
B.W. He ◽  
Y.F. Li
Keyword(s):  
Camera Calibration ◽  
Vision System ◽  
Vanishing Points

Design and Research of Camera Calibration System in Binocular Stereo Vision

2011 ◽  
Vol 460-461 ◽  
pp. 219-224 ◽  
Author(s):  
Jun Tao Xiong ◽  
Xiang Jun Zou ◽  
Hai Xin Zou ◽  
Yin Le Chen ◽  
Quan Sun
Keyword(s):  
Camera Calibration ◽  
High Precision ◽  
Stereo Vision ◽  
Vision System ◽  
Calibration Method ◽  
Calibration Data ◽  
Calibration System ◽  
Binocular Stereo Vision ◽  
Reference Measure ◽  
Binocular Stereo

Aiming at the camera calibration of binocular stereo vision system, based on Zhang’s calibration method, the specified points in the calibration template obtained by the Harris operator, a set of camera calibration system combined with VC++ and Matlab was developed. The results of the calibration system, comparing with those of four-step calibration method, was analyzed and showed that: the error of calibration data in this system was within 0~5 mm, which had a high precision calibration, providing a new reference measure for the camera calibration.

A camera calibration method based on two orthogonal vanishing points

2013 ◽  
Vol 26 (5) ◽  
pp. 1185-1199 ◽  
Author(s):  
Zhao Lugang ◽  
Wu Chengke ◽  
Ning Jifeng
Keyword(s):  
Camera Calibration ◽  
Calibration Method ◽  
Vanishing Points

Automatic Camera Calibration Method by Using Width Information for Hand Gesture Tracking System

2005 ◽  
Vol 59 (4) ◽  
pp. 581-587
Author(s):  
Hirotake Yamazoe ◽  
Akira Utsumi ◽  
Kenichi Hosaka ◽  
Masahiko Yachida
Keyword(s):  
Camera Calibration ◽  
Tracking System ◽  
Calibration Method ◽  
Hand Gesture ◽  
Gesture Tracking ◽  
Automatic Camera Calibration

Camera Calibration Method Based on Circle Plane Board

2013 ◽  
Vol 475-476 ◽  
pp. 184-187
Author(s):  
Wen Guo Li ◽  
Shao Jun Duan
Keyword(s):  
Camera Calibration ◽  
Calibration Method ◽  
Lens Distortion ◽  
Edge Extraction ◽  
Circle Plane ◽  
Circle Centre ◽  
Extraction Algorithm ◽  
Calibration Algorithm ◽  
Characteristic Points ◽  
Distortion Parameters

We present a camera calibration method based on circle plane board. The centres of circles on plane are regarded as the characteristic points, which are used to implement camera calibration. The proposed calibration is more accurate than many previous calibration algorithm because of the merit of the coordinate of circle centre being obtained from thousand of of edge pionts of ellipse, which is very reliable to image noise caused by edge extraction algorithm. Experiments shows the proposed algorithm can obtain high precise inner parameters, and lens distortion parameters.

Easy calibration method of vision system for in-situ measurement of strain of thin films

2009 ◽  
Vol 19 ◽  
pp. s243-s249 ◽  
Author(s):  
Jun-Hyub PARK ◽  
Dong-Joong KANG ◽  
Myung-Soo SHIN ◽  
Sung-Jo LIM ◽  
Son-Cheol YU ◽  
...  
Keyword(s):  
Thin Films ◽  
Vision System ◽  
Calibration Method ◽  
In Situ Measurement
Sign in / Sign up

Export Citation Format

Share Document